from PIL import Image
import matplotlib.pyplot as plt
import urllib, cStringIO
%matplotlib inline

def getImgFromURL(url):
    f = cStringIO.StringIO(urllib.urlopen(url).read())
    image = Image.open(f)
    return image

def getImg(s):
    if s.startswith('http'):
        image=getImgFromURL(s)
    else:
        image = Image.open(s)
    plt.imshow(image)
    return image

def getCancellation(image,R=130,G=130,B=130):
    pix = image.load()
    xmax,ymax=image.size
    out = Image.new(image.mode, (xmax,ymax), None)
    opixel = out.load()
    for x in xrange(image.size[0]):
        for y in xrange(image.size[1]):
            (a,b,c)=pix[x,y]
            if a<R and b<G and c<B:
                opixel[x, y]=(0,0,0)
            else:
                opixel[x, y]=(255,255,255)

    plt.imshow(out)
    return out

def getCancellation2(image,H=10,S=90,L=90):
    pix = image.load()
    pix2=image.copy().convert('HSV').load()
    xmax,ymax=image.size
    out = Image.new(image.mode, (xmax,ymax), None)
    opixel = out.load()
    for x in xrange(image.size[0]):
        for y in xrange(image.size[1]):
            (a,b,c)=pix2[x,y]
            if a<=H and b<=S and c<=L:
                opixel[x, y]=(0,0,0)
            else:
                opixel[x, y]=(255,255,255)

    plt.imshow(out)
    return out

def getCancellationIsh(image,R=130,G=130,B=130,ish=10,flip=False,filterOut=False):
    pix = image.load()
    xmax,ymax=image.size
    out = Image.new(image.mode, (xmax,ymax), None)
    opixel = out.load()
    
    for x in xrange(image.size[0]):
        for y in xrange(image.size[1]):
            (r,g,b)=pix[x,y]
            if r<R+ish and r>R-ish and g<G+ish and g>G-ish and b<B+ish and b>B-ish:
                if flip: opixel[x, y]=(255,255,255)
                else: opixel[x, y]=(0,0,0)
            else:
                if flip: opixel[x, y]=(0,0,0)
                else:opixel[x, y]=(255,255,255)

    plt.imshow(out)
    return out

def removeColour(image,R=130,G=130,B=130,ish=10,flip=False):
    pix = image.load()
    xmax,ymax=image.size
    out = Image.new(image.mode, (xmax,ymax), None)
    opixel = out.load()
    
    for x in xrange(image.size[0]):
        for y in xrange(image.size[1]):
            (r,g,b)=pix[x,y]
            if r<R+ish and r>R-ish and g<G+ish and g>G-ish and b<B+ish and b>B-ish:
                if flip: opixel[x, y]=(r,g,b)
                else: opixel[x, y]=(255,255,255)
            else:
                if flip: opixel[x, y]=(255,255,255)
                else:opixel[x, y]=(0,0,0)#(r,g,b)

    plt.imshow(out)
    return out

removeColour(image,194,154,150,35,True)

getCancellationIsh(image,120,110,90,15)

from PIL import ImageFilter
plt.imshow(c.filter(ImageFilter.BLUR))

plt.imshow(c.filter(ImageFilter.CONTOUR))

plt.imshow(c.filter(ImageFilter.DETAIL))

plt.imshow(c.filter(ImageFilter.EDGE_ENHANCE))

plt.imshow(c.filter(ImageFilter.EDGE_ENHANCE_MORE))

plt.imshow(c.filter(ImageFilter.EMBOSS))

plt.imshow(c.filter(ImageFilter.FIND_EDGES))

plt.imshow(c.filter(ImageFilter.SMOOTH))

plt.imshow(c.filter(ImageFilter.SMOOTH_MORE))

plt.imshow(c.filter(ImageFilter.SHARPEN))

plt.imshow(c.filter(ImageFilter.MedianFilter(size=3)))

plt.imshow(c.filter(ImageFilter.ModeFilter(size=3)))

def makeMask(image):
    pix = image.load()
    xmax,ymax=image.size
    mask = Image.new(image.mode, (xmax,ymax), None)
    mask.convert('RGBA')
    opixel = mask.load()
    for x in xrange(image.size[0]):
        for y in xrange(image.size[1]):
            (a,b,c)=pix[x,y]
            if a<130 and b<130 and c<130:
                opixel[x, y]=(0,0,0,0)
            else:
                opixel[x, y]=(255,255,255,255)

    plt.imshow(mask)
    return mask

mask=makeMask(image)

plt.imshow(image)

def highlight(image,R=90,G=80,B=90):
    pix = image.load()
    xmax,ymax=image.size
    ma = Image.new(image.mode, (xmax,ymax), None)
    opixel = ma.load()
    for x in xrange(image.size[0]):
        for y in xrange(image.size[1]):
            (a,b,c)=pix[x,y]
            if a>R and b>G and c>B:
                opixel[x, y]=(250,0,0)
            else:
                opixel[x, y]=(255,255,255)#pix[x,y]#(255,255,255)

    #plt.imshow(ma)
    return ma
highlight(image,10,100,100)

def blankCancellation(image):
    pix = image.load()
    xmax,ymax=image.size
    ma = Image.new(image.mode, (xmax,ymax), None)
    opixel = ma.load()
    for x in xrange(image.size[0]):
        for y in xrange(image.size[1]):
            (a,b,c)=pix[x,y]
            if a<130 and b<130 and c<130:
                opixel[x, y]=(230,220,180)
            else:
                opixel[x, y]=pix[x,y]#(255,255,255)

    #plt.imshow(ma)
    return ma

blankCancellation(image)

#Generate list of pixels to fill in from mask
def getPixels(ma):
    pixels=[]
    for x in xrange(image.size[0]):
        for y in xrange(image.size[1]):
            (a,b,c)=pix[x,y]
            if a<130 and b<130 and c<130:
                pixels.append([x,y])
    return pixels
#Find valid neighboring pixels: in the image and a non-background colour (so choose a clashy background colour)
def inBounds(x,y):
    if x>0 and y>0 and x<image.size[0] and y <image.size[1]: return True
    return False
def getValidNeighbours(px,im):
    neighbours=[]
    #valid in in image bounds and non-background
    for x in [-1,0,1]:
        for y in [-1,0,1]:
            if not (x==0 and y==0) and inBounds(px[0]+x, px[1]+y) and im[px[0],px[1]][0]!=0:
                neighbours.append([px[0]+x, px[1]+y])
    return neighbours
#Pick one from list of longest neighbours and fill in
#Repeat

#v slow, a pixel at a time

image2=image.copy()
xx=image2.load()
yy=image2.convert('HSV').load()
for x in xrange(image.size[0]):
    for y in xrange(image.size[1]):
        (a,b,c)=yy[x,y]
        if a<9:
            xx[x, y]=(255,255,255)
        else:
            xx[x, y]=(0, 0, 0)#(255,255,255)

plt.imshow(image2)

plt.plot(gap.histogram())

?xrange

c.save('testcancel.png')
gap.save('testgap.png')
image.save('testraw.png')
mask.save('testmask.png')

#https://github.com/dboze/innpaint
import os, sys
from PIL import Image
from collections import Counter
from random import shuffle

filename ='testcancel.png'# sys.argv[1]
image = Image.open(filename)
im = image.load()

filename = 'testmask.png'#sys.argv[2]
mask = Image.open(filename)
ma = mask.load()

#if (image.size != mask.size):
#    print "ERROR: Input image and mask have different dimensions!"
#    sys.exit(0)

width, height = image.size

tmask = mask.copy()
tma = tmask.load()

def is_valid(c, max):
    "Ensure that pixel coordinate is not out of range of the image"
    if (c >= 0 and c < max):
        return True
    else:
        return False

def neighbor_pixels(x, y, img):
    "Find all valid neighboring pixels"
    neighbors = []
    if (is_valid(y+1, height) and img[x, y+1][0] == 0):
        neighbors.append([x, y+1])
    if (is_valid(y-1, height) and img[x, y-1][0] == 0):
        neighbors.append([x, y-1])
    if (is_valid(x+1,width) and img[x+1, y][0] == 0):
        neighbors.append([x+1, y])
    if (is_valid(x-1,width) and img[x-1, y][0] == 0):
        neighbors.append([x-1, y])
    return neighbors

def extract_alpha(img):
    "Create a list of pixels [[x,y],...] for a given image where pixels are not null"
    alpha = []
    y = 0
    while y < height:
        x = 0
        while x < width:
            if (img[x,y][0] == 0):
                alpha.append([x,y])
            x = x + 1
        y = y + 1
    shuffle (alpha)
    return alpha
    
def average_rgb(pixels, img):
    "For a given list of pixels [[x,y],...], return the average color as RGB tuple"
    r, g, b = 0, 0, 0
    for p in pixels:
        c = img[p[0], p[1]]
        #print(c)
        r += c[0]
        g += c[1]
        b += c[2]
    length = len(pixels)
    if length > 0:
        return (int(r/length), int(g/length), int(b/length))
    else:
        return (0, 0, 0)

alpha = extract_alpha(ma)
x=1
if len(alpha)!=0:
    print('interp',len(alpha))
    while len(alpha) >0:
        #print(len(alpha))
        for p in alpha:
            neighbors = neighbor_pixels(p[0], p[1], ma)
            if len(neighbors) > 0:
                #print(neighbors,average_rgb(neighbors, im))
                im[p[0], p[1]] = average_rgb(neighbors, im)
                tma[p[0], p[1]] = (1,1,1)
        ma = tma
        alpha = extract_alpha(ma)
else: print('no interp')

newfile = 'testfill.jpg'#sys.argv[3]
image.save(newfile)
plt.imshow(image)

im[99,0]

pix=ma
p=0
q=0
r=0

for x in xrange(image.size[0]):
        for y in xrange(image.size[1]):
            (a,b,c,d)=pix[x,y]
            if a==255:
                p=p+1
            elif a==0:
                q=q+1
            else: r=r+1
print(p,q,r)

image.size

127*134